Machine Learning Engineer | AI Strategist

Building intelligent systems for operational and business impact.

Focused on predictive modeling, intelligent automation, logistics optimization, and deploying real-world AI architectures that help enterprises make better decisions.

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Engineering in Action

Engineering intelligence for the real world.

I’m a Machine Learning Engineer focused on building intelligent systems that help businesses make better decisions, from predictive modeling to automation-driven operations.

I don’t just work with AI in theory. I design and build real, deployable systems that solve practical business problems. My work sits directly at the intersection of:

  • Machine Learning & Predictive Modeling
  • Intelligent Automation
  • Data Systems & Backend Architecture

I believe technology should do more than look impressive — it should solve real problems, streamline workflows, and create measurable business impact.

Featured Enterprise Systems

Production-ready AI solutions, intelligence platforms, and robust enterprise applications built for scalability and real-world utility.

Entrepreneurship & Applied Ventures

Startups founded, conference projects, and applied ML experiments serving as strong evidence of initiative and leadership.

PropNode

Startup Founder

A startup providing an AI-powered property oversight platform for property managers and law firms. Features NLP-based tenant complaint escalation and OCR receipt reconciliation.

Entrepreneurship OCR Engine

UzoAgro

Innovate AI Conference 2026

An intelligent agricultural logistics platform designed to optimize supply chains and reduce post-harvest losses by efficiently matching farmers with logistics providers.

Hackathon/Conference Logistics

AgroLens

Applied ML Experiment

A computer vision system built using PyTorch to detect crop diseases and automatically recommend treatments based on detected visual issues in farm images.

Computer Vision PyTorch

What I Build

Instead of just listing programming languages, here are the core systems and capabilities I engineer to deliver value.

Demand Prediction Systems
AI-Powered Automation Workflows
Computer Vision Applications
NLP Systems for Text Understanding
Robust Data Pipelines (ETL)
Backend API Integrations

Core Technology Stack

Python • Scikit-learn • PyTorch • FastAPI • PostgreSQL • Pandas & NumPy • Git • Zapier

Experience & Leadership

Tech Lead

Alotech Designs

2025 – Present

  • Leading technical direction for AI and automation-focused learning initiatives.
  • Designed structured technical training systems for students bridging theoretical knowledge with practical automation implementation.

AI/ML Tutor

AICIC Concepts

2025 – Present

  • Guiding students through the full ML lifecycle: data preprocessing, feature engineering, model building, and deployment.
  • Designed a project-based learning approach to help students transition smoothly from theory to real-world application.

Host & Creator

Tech Innovator Podcast

Feb 2026 – Present

  • Created a platform exploring innovation, systems thinking, and tech career development.
  • Simplifying complex concepts (AI, robotics) to mentor the next generation of early builders and innovators.

Let's build intelligent systems.

Open to collaborating on AI/ML systems that solve real business problems. Drop a message to discuss operational improvements or enterprise architectures.